Optimal hospital payment rules under rationing by waiting.

Area of Science:

• Health Economics
• Healthcare Management
• Operations Research

Background:

• Hospital payment mechanisms influence provider behavior regarding quality and capacity.
• Patient demand for non-emergency care is often rationed by waiting times, imposing costs on patients.
• Deterministic models fail to capture equilibrium scenarios with both positive quality and waiting times.

Purpose of the Study:

• To derive optimal payment rules for hospitals considering quality, capacity, and patient waiting times.
• To analyze the effectiveness of prospective output prices in incentivizing desired hospital behaviors.
• To identify necessary supplements to payment rules for achieving optimal patient welfare.

Main Methods:

• Development of a stochastic model for rationing by waiting time.
• Analysis of hospital payment rules under provider choice of quality and capacity.
• Equilibrium analysis incorporating patient cost of waiting.

Main Results:

• Prospective output prices incentivize quality and reduced waiting times but are insufficient alone.
• Optimal outcomes require supplementary pricing linked to quality, capacity, or performance indicators (e.g., average waiting time).
• A prospective output price alone is only optimal under strict conditions on welfare functions and patient preferences.

Conclusions:

• Hospital payment systems must integrate incentives for both quality and efficient waiting time management.
• Supplementary financial mechanisms are crucial for aligning hospital incentives with societal welfare.
• Adjustments to payment rules, potentially including cost-based rewards or taxes, can improve healthcare system efficiency.